MONALISA: A MONITORING FRAMEWORK FOR LARGE SCALE COMPUTING SYSTEMS
نویسندگان
چکیده
منابع مشابه
GrenchMark: A Framework for Testing Large-Scale Distributed Computing Systems
Today’s large-scale distributed computing systems (LSDCSs) integrate (tens of) thousands of resources. Infrastructures such as the WLCG, the NorduGrid, the TeraGrid, the Open Science Grid etc., offer similar or better throughput when compared with large-scale parallel production environments [1], [2]. However, two problems threaten to cancel out the benefits of this integration. First, the inte...
متن کاملA partition-based algorithm for clustering large-scale software systems
Clustering techniques are used to extract the structure of software for understanding, maintaining, and refactoring. In the literature, most of the proposed approaches for software clustering are divided into hierarchical algorithms and search-based techniques. In the former, clustering is a process of merging (splitting) similar (non-similar) clusters. These techniques suffered from the drawba...
متن کاملKOSHIK- A Large-scale Distributed Computing Framework for NLP
In this paper, we describe KOSHIK, an end-to-end framework to process the unstructured natural language content of multilingual documents. We used the Hadoop distributed computing infrastructure to build this framework as it enables KOSHIK to easily scale by adding inexpensive commodity hardware. We designed an annotation model that allows the processing algorithms to incrementally add layers o...
متن کاملA Grid Computing Framework for Large Scale Molecular Dynamics Simulations
Molecular Dynamics(MD) is computational study through simulating in detail the interatomic interactions in protein. Currently, there is no better simulating algorithm due to the demand on accuracy. However, a ensemble/distributed dynamics method is developed to run the simulation in parallel on many distributed computers on the internet. The objective of this research is to design and code a re...
متن کاملLarge-scale neuromorphic computing systems.
Neuromorphic computing covers a diverse range of approaches to information processing all of which demonstrate some degree of neurobiological inspiration that differentiates them from mainstream conventional computing systems. The philosophy behind neuromorphic computing has its origins in the seminal work carried out by Carver Mead at Caltech in the late 1980s. This early work influenced other...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Computing
سال: 2014
ISSN: 2312-5381,1727-6209
DOI: 10.47839/ijc.11.4.578